50 lines
1.6 KiB
Java
50 lines
1.6 KiB
Java
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// Copyright 2025 Xiaomi Corporation
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// This file shows how to use an offline Dolphin CTC model, i.e.,
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// non-streaming Dolphin CTC model, to decode files.
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import com.k2fsa.sherpa.onnx.*;
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public class NonStreamingDecodeFileDolphinCtc {
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public static void main(String[] args) {
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// please refer to
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// https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
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// to download model files
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String model = "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/model.int8.onnx";
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String tokens = "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/tokens.txt";
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String waveFilename =
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"./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/test_wavs/0.wav";
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WaveReader reader = new WaveReader(waveFilename);
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OfflineDolphinModelConfig dolphin = OfflineDolphinModelConfig.builder().setModel(model).build();
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OfflineModelConfig modelConfig =
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OfflineModelConfig.builder()
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.setDolphin(dolphin)
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.setTokens(tokens)
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.setNumThreads(1)
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.setDebug(true)
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.build();
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OfflineRecognizerConfig config =
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OfflineRecognizerConfig.builder()
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.setOfflineModelConfig(modelConfig)
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.setDecodingMethod("greedy_search")
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.build();
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OfflineRecognizer recognizer = new OfflineRecognizer(config);
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OfflineStream stream = recognizer.createStream();
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stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
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recognizer.decode(stream);
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String text = recognizer.getResult(stream).getText();
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System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
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stream.release();
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recognizer.release();
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}
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}
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